Chee Peng Lim
Orcid: 0000-0003-4191-9083
According to our database1,
Chee Peng Lim
authored at least 363 papers
between 1995 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2025
A histogram SMOTE-based sampling algorithm with incremental learning for imbalanced data classification.
Inf. Sci., 2025
2024
IEEE Trans. Neural Networks Learn. Syst., November, 2024
IEEE Trans. Netw. Serv. Manag., October, 2024
Finite-Time Stability Analysis and Stabilization of Switched Affine Systems via an Event-Triggered Strategy.
IEEE Trans. Cybern., October, 2024
IEEE Trans. Fuzzy Syst., September, 2024
Neural Comput. Appl., August, 2024
A Neural Network-Based Motion Cueing Algorithm Using the Classical Washout Filter for Comprehensive Driving Scenarios.
IEEE Trans. Intell. Transp. Syst., June, 2024
Video deepfake detection using Particle Swarm Optimization improved deep neural networks.
Neural Comput. Appl., May, 2024
Fuzzy Adaptive Fault-Tolerant Stability Control Against Novel Actuator Faults and Its Application to Mechanical Systems.
IEEE Trans. Fuzzy Syst., April, 2024
Enhancing the Whale Optimisation Algorithm with sub-population and hybrid techniques for single- and multi-objective optimisation.
Soft Comput., March, 2024
Synchronization of Fractional Stochastic Neural Networks: An Event Triggered Control Approach.
IEEE Trans. Syst. Man Cybern. Syst., February, 2024
An Ensemble Semi-Supervised Adaptive Resonance Theory Model With Explanation Capability for Pattern Classification.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2024
Hybrid Stealthy Attacks on Stochastic Event-Based Remote Estimation Under Packet Dropouts.
IEEE Trans. Netw. Sci. Eng., 2024
2nd International Conference on Mathematical Modeling and Computational Methods in Science and Engineering (ICMMCMSE-2020).
Math. Comput. Simul., 2024
Video Deepfake classification using particle swarm optimization-based evolving ensemble models.
Knowl. Based Syst., 2024
Application of artificial intelligence in cognitive load analysis using functional near-infrared spectroscopy: A systematic review.
Expert Syst. Appl., 2024
Expert Syst. Appl., 2024
Predicting cognitive load in immersive driving scenarios with a hybrid CNN-RNN model.
CoRR, 2024
Functional near-infrared spectroscopy (fNIRS) and Eye tracking for Cognitive Load classification in a Driving Simulator Using Deep Learning.
CoRR, 2024
Enhancing Cognitive Workload Classification Using Integrated LSTM Layers and CNNs for fNIRS Data Analysis.
CoRR, 2024
Methods for Class-Imbalanced Learning with Support Vector Machines: A Review and an Empirical Evaluation.
CoRR, 2024
CoRR, 2024
Optimal recycling model selection in a closed-loop supply chain for electric vehicle batteries under carbon cap-trade and reward-penalty policies using the Stackelberg game.
Comput. Ind. Eng., 2024
A Framework for Robust Deep Learning Models Against Adversarial Attacks Based on a Protection Layer Approach.
IEEE Access, 2024
Application of a BiLSTM Model for Detecting Driver Distraction Caused by Hand-Held Mobile Phones, Utilizing Physiological Signals and Head Motion Data.
Proceedings of the IEEE International Systems Conference, 2024
2023
Soft Comput., November, 2023
Expert Syst. Appl., November, 2023
Hybrid data augmentation and deep attention-based dilated convolutional-recurrent neural networks for speech emotion recognition.
Expert Syst. Appl., November, 2023
Finite-Time Observer-Based Formation Tracking With Application to Omnidirectional Robots.
IEEE Trans. Ind. Electron., October, 2023
Semantic segmentation using Firefly Algorithm-based evolving ensemble deep neural networks.
Knowl. Based Syst., October, 2023
An Optimal Nonlinear Model Predictive Control- Based Motion Cueing Algorithm Using Cascade Optimization and Human Interaction.
IEEE Trans. Intell. Transp. Syst., September, 2023
Soft Comput., August, 2023
Ensemble feature selection using Bonferroni, OWA and Induced OWA aggregation operators.
Appl. Soft Comput., August, 2023
A Novel Decoupled Model Predictive Control-Based Motion Cueing Algorithm for Driving Simulators.
IEEE Trans. Veh. Technol., June, 2023
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023
Artif. Intell. Rev., March, 2023
Adaptive Motion Cueing Algorithm Using Optimized Fuzzy Control System for Motion Simulators.
IEEE Trans. Intell. Veh., January, 2023
A Coherent Data Envelopment Analysis to Evaluate the Efficiency of Sustainable Supply Chains.
IEEE Trans. Engineering Management, 2023
Towards an efficient backbone for preserving features in speech emotion recognition: deep-shallow convolution with recurrent neural network.
Neural Comput. Appl., 2023
Optimal pricing policy in a three-layer dual-channel supply chain under government subsidy in green manufacturing.
Math. Comput. Simul., 2023
An ensemble deep learning classifier stacked with fuzzy ARTMAP for malware detection.
J. Intell. Fuzzy Syst., 2023
Fruit-CoV: An efficient vision-based framework for speedy detection and diagnosis of SARS-CoV-2 infections through recorded cough sounds.
Expert Syst. Appl., 2023
CoRR, 2023
Appl. Intell., 2023
A Parallel Ensemble Learning Model for Fault Detection and Diagnosis of Industrial Machinery.
IEEE Access, 2023
An Ensemble-Based Parallel Deep Learning Classifier With PSO-BP Optimization for Malware Detection.
IEEE Access, 2023
A Development of Time-Varying Weight Model Predictive Control for Autonomous Vehicles.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023
Measuring Cognitive Load: Leveraging fNIRS and Machine Learning for Classification of Workload Levels.
Proceedings of the Neural Information Processing - 30th International Conference, 2023
Proceedings of the IEEE International Conference on Fuzzy Systems, 2023
2022
Design and HIL Realization of an Online Adaptive Dynamic Programming Approach for Real-Time Economic Operations of Household Energy Systems.
IEEE Trans. Smart Grid, 2022
A New Prepositioning Technique of a Motion Simulator Platform Using Nonlinear Model Predictive Control and Recurrent Neural Network.
IEEE Trans. Intell. Transp. Syst., 2022
A Time-Varying Weight MPC-Based Motion Cueing Algorithm for Motion Simulation Platform.
IEEE Trans. Intell. Transp. Syst., 2022
Policy-Based Reinforcement Learning for Training Autonomous Driving Agents in Urban Areas With Affordance Learning.
IEEE Trans. Intell. Transp. Syst., 2022
Resilient Adaptive Event-Triggered Fuzzy Tracking Control and Filtering for Nonlinear Networked Systems Under Denial-of-Service Attacks.
IEEE Trans. Fuzzy Syst., 2022
Monotone Fuzzy Rule Interpolation for Practical Modeling of the Zero-Order TSK Fuzzy Inference System.
IEEE Trans. Fuzzy Syst., 2022
Distributed Fault-Tolerant Cooperative Output Regulation for Multiagent Networks Via Fixed-Time Observer and Adaptive Control.
IEEE Trans. Control. Netw. Syst., 2022
Event-Triggered Control for Networked Systems Under Denial of Service Attacks and Applications.
IEEE Trans. Circuits Syst. I Regul. Pap., 2022
Deep-Q learning-based heterogeneous earliest finish time scheduling algorithm for scientific workflows in cloud.
Softw. Pract. Exp., 2022
Soft Comput., 2022
Adaptive Motion Cueing Algorithm Based on Fuzzy Logic Using Online Dexterity and Direction Monitoring.
IEEE Syst. J., 2022
An evolving ensemble model of multi-stream convolutional neural networks for human action recognition in still images.
Neural Comput. Appl., 2022
Existence, uniqueness and global stability of Clifford-valued neutral-type neural networks with time delays.
Math. Comput. Simul., 2022
Deep Emotional Arousal Network for Multimodal Sentiment Analysis and Emotion Recognition.
Inf. Fusion, 2022
Eng. Appl. Artif. Intell., 2022
Complex., 2022
A model with pseudo-label correction and distribution alignment for image clustering.
Comput. Electr. Eng., 2022
An information entropy-based evolutionary computation for multi-factorial optimization.
Appl. Soft Comput., 2022
Parallel Deep Learning with a hybrid BP-PSO framework for feature extraction and malware classification.
Appl. Soft Comput., 2022
Appl. Soft Comput., 2022
Proceedings of the 17th Annual System of Systems Engineering Conference, 2022
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022
Optimal MPC Horizons Tunning of Nonlinear MPC for Autonomous Vehicles Using Particle Swarm Optimisation.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022
Multi-objective NSGA-II for Weight Tuning of a Nonlinear Model Predictive Controller in Autonomous Vehicles.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022
Biogeography-based Optimisation for Weight Tuning of a Linear Time-Varying Model Predictive Control Approach for Autonomous Vehicles.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022
Implementation of the Grasshopper Optimisation Algorithm to Optimize Prediction and Control Horizons in Model Predictive Control-based Motion Cueing Algorithm.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022
2021
Parametric Conditions for a Monotone TSK Fuzzy Inference System to be an n-Ary Aggregation Function.
IEEE Trans. Fuzzy Syst., 2021
IEEE Trans. Aerosp. Electron. Syst., 2021
Feature Selection Using Enhanced Particle Swarm Optimisation for Classification Models.
Sensors, 2021
Evolving Deep Architecture Generation with Residual Connections for Image Classification Using Particle Swarm Optimization.
Sensors, 2021
Intelligent human action recognition using an ensemble model of evolving deep networks with swarm-based optimization.
Knowl. Based Syst., 2021
TS Fuzzy Robust Sampled-Data Control for Nonlinear Systems with Bounded Disturbances.
Comput., 2021
Mixed ℋ -Infinity and Passive Synchronization of Markovian Jumping Neutral-Type Complex Dynamical Networks with Randomly Occurring Distributed Coupling Time-Varying Delays and Actuator Faults.
Complex., 2021
A semisupervised learning model based on fuzzy min-max neural networks for data classification.
Appl. Soft Comput., 2021
Impulsive effects on Clifford-valued neural networks with time-varying delays: An asymptotic stability analysis.
Appl. Math. Comput., 2021
Particle Swarm Optimization for Automatically Evolving Convolutional Neural Networks for Image Classification.
IEEE Access, 2021
An Application of Data Envelopment Analysis and Machine Learning Approach to Risk Management.
IEEE Access, 2021
Finite-Time Synchronization of Clifford-Valued Neural Networks With Infinite Distributed Delays and Impulses.
IEEE Access, 2021
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
Whale Optimization Algorithm for Weight Tuning of a Model Predictive Control-Based Motion Cueing Algorithm.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
Time Series Prediction of Driving Motion Scenarios Using Fuzzy Neural Networks: * Motion Signal Prediction Using FNNs.
Proceedings of the IEEE International Conference on Mechatronics, 2021
2020
Adaptive Washout Filter Based on Fuzzy Logic for a Motion Simulation Platform With Consideration of Joints' Limitations.
IEEE Trans. Veh. Technol., 2020
A Refined Fuzzy Min-Max Neural Network With New Learning Procedures for Pattern Classification.
IEEE Trans. Fuzzy Syst., 2020
Discrete-Time Stochastic Quaternion-Valued Neural Networks with Time Delays: An Asymptotic Stability Analysis.
Symmetry, 2020
An Extended Analysis on Robust Dissipativity of Uncertain Stochastic Generalized Neural Networks with Markovian Jumping Parameters.
Symmetry, 2020
A Delay-Dividing Approach to Robust Stability of Uncertain Stochastic Complex-Valued Hopfield Delayed Neural Networks.
Symmetry, 2020
Adaptive melanoma diagnosis using evolving clustering, ensemble and deep neural networks.
Knowl. Based Syst., 2020
A weight perturbation-based regularisation technique for convolutional neural networks and the application in medical imaging.
Expert Syst. Appl., 2020
Eng. Appl. Artif. Intell., 2020
A Review of the Family of Artificial Fish Swarm Algorithms: Recent Advances and Applications.
CoRR, 2020
Solving Black-Scholes equations using fractional generalized homotopy analysis method.
Comput. Appl. Math., 2020
Autom., 2020
Intelligent optic disc segmentation using improved particle swarm optimization and evolving ensemble models.
Appl. Soft Comput., 2020
Delay-dependent stability criteria of delayed positive systems with uncertain control inputs: Application in mosquito-borne morbidities control.
Appl. Math. Comput., 2020
Evolving CNN-LSTM Models for Time Series Prediction Using Enhanced Grey Wolf Optimizer.
IEEE Access, 2020
A New Monotone Fuzzy Rule Relabeling Framework With Application to Failure Mode and Effect Analysis Methodology.
IEEE Access, 2020
2019
IEEE Trans. Intell. Veh., 2019
Survey of Fuzzy Min-Max Neural Network for Pattern Classification Variants and Applications.
IEEE Trans. Fuzzy Syst., 2019
An artificial bee colony algorithm with a Modified Choice Function for the traveling salesman problem.
Swarm Evol. Comput., 2019
IEEE Syst. J., 2019
Observer-Based $\mathcal{H}_{\infty }$ Fault-Tolerant Control for Linear Systems With Sensor and Actuator Faults.
IEEE Syst. J., 2019
Guest editorial: Automatic facial and bodily expression perception for human behaviour understanding.
Multim. Tools Appl., 2019
Int. J. Mach. Learn. Cybern., 2019
Application of an evolutionary algorithm-based ensemble model to job-shop scheduling.
J. Intell. Manuf., 2019
A scalarization-based dominance evolutionary algorithm for many-objective optimization.
Inf. Sci., 2019
Inf. Sci., 2019
Neurocomputing, 2019
A hybrid model of fuzzy min-max and brain storm optimization for feature selection and data classification.
Neurocomputing, 2019
Complex., 2019
Appl. Soft Comput., 2019
Intelligent skin cancer diagnosis using improved particle swarm optimization and deep learning models.
Appl. Soft Comput., 2019
Appl. Soft Comput., 2019
Stability and pinning synchronization analysis of fractional order delayed Cohen-Grossberg neural networks with discontinuous activations.
Appl. Math. Comput., 2019
Hybrid Data Regression Model Based on the Generalized Adaptive Resonance Theory Neural Network.
IEEE Access, 2019
Evolving Ensemble Models for Image Segmentation Using Enhanced Particle Swarm Optimization.
IEEE Access, 2019
A Critical Review on Selected Fuzzy Min-Max Neural Networks and Their Significance and Challenges in Pattern Classification.
IEEE Access, 2019
An Improved Scalarization-based Dominance Evolutionary Algorithm for Many-Objective Optimization.
Proceedings of the 2019 IEEE International Systems Conference, 2019
A Model Predictive Control-based Motion Cueing Algorithm using an optimized Nonlinear Scaling for Driving Simulators.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
Evolving Artificial Neural Networks Using Butterfly Optimization Algorithm for Data Classification.
Proceedings of the Neural Information Processing - 26th International Conference, 2019
Proceedings of the IEEE International Conference on Industrial Technology, 2019
2018
Synchronization of an Inertial Neural Network With Time-Varying Delays and Its Application to Secure Communication.
IEEE Trans. Neural Networks Learn. Syst., 2018
Robust Vehicle Detection in Aerial Images Using Bag-of-Words and Orientation Aware Scanning.
IEEE Trans. Geosci. Remote. Sens., 2018
On Modeling of Data-Driven Monotone Zero-Order TSK Fuzzy Inference Systems Using a System Identification Framework.
IEEE Trans. Fuzzy Syst., 2018
Knowl. Based Syst., 2018
A scattering and repulsive swarm intelligence algorithm for solving global optimization problems.
Knowl. Based Syst., 2018
A genetic algorithm-based nonlinear scaling method for optimal motion cueing algorithm in driving simulator.
J. Syst. Control. Eng., 2018
Network-based synchronization of T-S fuzzy chaotic systems with asynchronous samplings.
J. Frankl. Inst., 2018
Improving the Fuzzy Min-Max neural network performance with an ensemble of clustering trees.
Neurocomputing, 2018
On the Monotonicity Property of the TSK Fuzzy Inference System: The <i>Necessity of the Sufficient Conditions</i> and the <i>Monotonicity Test</i>.
Int. J. Fuzzy Syst., 2018
Classifier ensemble reduction using a modified firefly algorithm: An empirical evaluation.
Expert Syst. Appl., 2018
Feature selection using firefly optimization for classification and regression models.
Decis. Support Syst., 2018
Comput. Medical Imaging Graph., 2018
Comput. Intell., 2018
An ensemble of intelligent water drop algorithm for feature selection optimization problem.
Appl. Soft Comput., 2018
Application of a Genetic-Fuzzy FMEA to Rainfed Lowland Rice Production in Sarawak: Environmental, Health, and Safety Perspectives.
IEEE Access, 2018
IEEE Access, 2018
Proceedings of the 2018 Annual IEEE International Systems Conference, 2018
Evaluation of the Path Tracking Performance of Autonomous Vehicles Using the Universal Motion Simulator.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018
Proceedings of the IEEE 61st International Midwest Symposium on Circuits and Systems, 2018
3D Hand Pose Estimation using Simulation and Partial-Supervision with a Shared Latent Space.
Proceedings of the British Machine Vision Conference 2018, 2018
2017
Robust Optimal Motion Cueing Algorithm Based on the Linear Quadratic Regulator Method and a Genetic Algorithm.
IEEE Trans. Syst. Man Cybern. Syst., 2017
IEEE Trans. Neural Networks Learn. Syst., 2017
A Micro-GA Embedded PSO Feature Selection Approach to Intelligent Facial Emotion Recognition.
IEEE Trans. Cybern., 2017
An Analytical Interval Fuzzy Inference System for Risk Evaluation and Prioritization in Failure Mode and Effect Analysis.
IEEE Syst. J., 2017
A New Evolving Tree-Based Model with Local Re-learning for Document Clustering and Visualization.
Neural Process. Lett., 2017
A new hyperbox selection rule and a pruning strategy for the enhanced fuzzy min-max neural network.
Neural Networks, 2017
Reducing the complexity of an adaptive radial basis function network with a histogram algorithm.
Neural Comput. Appl., 2017
Robust stochastic sampled-data control for offshore steel jacket platforms with non-linear perturbations.
IMA J. Math. Control. Inf., 2017
Int. J. Prod. Res., 2017
Classification of transcranial Doppler signals using individual and ensemble recurrent neural networks.
Neurocomputing, 2017
Data driven modelling based on Recurrent Interval-Valued Metacognitive Scaffolding Fuzzy Neural Network.
Neurocomputing, 2017
Neutral-type of delayed inertial neural networks and their stability analysis using the LMI Approach.
Neurocomputing, 2017
Expert Syst. Appl., 2017
Expert Syst. Appl., 2017
A lightweight QRS detector for single lead ECG signals using a max-min difference algorithm.
Comput. Methods Programs Biomed., 2017
Appl. Soft Comput., 2017
Appl. Soft Comput., 2017
Improving the Fuzzy Min-Max neural network with a K-nearest hyperbox expansion rule for pattern classification.
Appl. Soft Comput., 2017
Proceedings of the 2017 Annual IEEE International Systems Conference, 2017
Proceedings of the Intelligent Decision Technologies 2017 - Proceedings of the 9th KES International Conference on Intelligent Decision Technologies (KES-IDT 2017), 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
A Swarm Optimization-Based Kmedoids Clustering Technique for Extracting Melanoma Cancer Features.
Proceedings of the Neural Information Processing - 24th International Conference, 2017
Monotone data samples do not always produce monotone fuzzy if-then rules: Learning with ad hoc and system identification methods.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017
2016
Power Quality Analysis Using a Hybrid Model of the Fuzzy Min-Max Neural Network and Clustering Tree.
IEEE Trans. Neural Networks Learn. Syst., 2016
IEEE J. Biomed. Health Informatics, 2016
IEEE Trans. Fuzzy Syst., 2016
A memetic-based fuzzy support vector machine model and its application to license plate recognition.
Memetic Comput., 2016
Knowl. Based Syst., 2016
Motor fault detection and diagnosis using a hybrid FMM-CART model with online learning.
J. Intell. Manuf., 2016
Synchronization of discrete-time Markovian jump complex dynamical networks with random delays via non-fragile control.
J. Frankl. Inst., 2016
Inf. Sci., 2016
Neurocomputing, 2016
A hybrid model of fuzzy ARTMAP and genetic algorithm for data classification and rule extraction.
Expert Syst. Appl., 2016
Appl. Soft Comput., 2016
A perceptual computing-based method to prioritize failure modes in failure mode and effect analysis and its application to edible bird nest farming.
Appl. Soft Comput., 2016
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016
A Particle Swarm Optimization-based washout filter for improving simulator motion fidelity.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016
Proceedings of the Intelligent Decision Technologies 2016 - Proceedings of the 8th KES International Conference on Intelligent Decision Technologies (KES-IDT 2016), 2016
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
Multi-expert decision-making with incomplete and noisy fuzzy rules and the monotone test.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016
2015
A New Two-Stage Fuzzy Inference System-Based Approach to Prioritize Failures in Failure Mode and Effect Analysis.
IEEE Trans. Reliab., 2015
IEEE Trans. Neural Networks Learn. Syst., 2015
Patient admission prediction using a pruned fuzzy min-max neural network with rule extraction.
Neural Comput. Appl., 2015
A clustering-based failure mode and effect analysis model and its application to the edible bird nest industry.
Neural Comput. Appl., 2015
Neural Comput. Appl., 2015
Neural Comput. Appl., 2015
Guest editorial: Special issue on advances in intelligent data processing and analysis.
Neural Comput. Appl., 2015
An ensemble of intelligent water drop algorithms and its application to optimization problems.
Inf. Sci., 2015
Classification of electrocardiogram and auscultatory blood pressure signals using machine learning models.
Expert Syst. Appl., 2015
Expert Syst. Appl., 2015
Enhancing medical named entity recognition with an extended segment representation technique.
Comput. Methods Programs Biomed., 2015
An improved consensus-based group decision making model with heterogeneous information.
Appl. Soft Comput., 2015
A modified fuzzy min-max neural network for data clustering and its application to power quality monitoring.
Appl. Soft Comput., 2015
Intelligent facial emotion recognition using a layered encoding cascade optimization model.
Appl. Soft Comput., 2015
Appl. Soft Comput., 2015
A multi-objective evolutionary algorithm-based decision support system: A case study on job-shop scheduling in manufacturing.
Proceedings of the Annual IEEE Systems Conference, 2015
Proceedings of the 2015 IEEE International Conference on Systems, 2015
Evolving an Adaptive Artificial Neural Network with a Gravitational Search Algorithm.
Proceedings of the Intelligent Decision Technologies, 2015
Statistical Modelling of Artificial Neural Network for Sorting Temporally Synchronous Spikes.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015
Dynamical Analysis of Neural Networks with Time-Varying Delays Using the LMI Approach.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015
2014
IEEE Trans. Neural Networks Learn. Syst., 2014
Simul. Model. Pract. Theory, 2014
Segmentation of gray scale image based on intuitionistic fuzzy sets constructed from several membership functions.
Pattern Recognit., 2014
Neural Comput. Appl., 2014
A novel trust measurement method based on certified belief in strength for a multi-agent classifier system.
Neural Comput. Appl., 2014
Neural Comput. Appl., 2014
Knowl. Based Syst., 2014
A new method for deriving priority weights by extracting consistent numerical-valued matrices from interval-valued fuzzy judgement matrix.
Inf. Sci., 2014
A multi-objective evolutionary algorithm-based ensemble optimizer for feature selection and classification with neural network models.
Neurocomputing, 2014
Neurocomputing, 2014
Condition monitoring of induction motors: A review and an application of an ensemble of hybrid intelligent models.
Expert Syst. Appl., 2014
Expert Syst. Appl., 2014
Expert Syst. Appl., 2014
Inclusion of environmental effects in steering behaviour modelling using fuzzy logic.
Expert Syst. Appl., 2014
A modified Intelligent Water Drops algorithm and its application to optimization problems.
Expert Syst. Appl., 2014
Proceedings of the 9th International Conference on System of Systems Engineering, 2014
Proceedings of the Soft Computing Applications, 2014
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014
Proceedings of the Smart Digital Futures 2014, 2014
Proceedings of the Smart Digital Futures 2014, 2014
Proceedings of the Neural Information Processing - 21st International Conference, 2014
Proceedings of the Neural Information Processing - 21st International Conference, 2014
A New Application of an Evolving Tree to Failure Mode and Effect Analysis Methodology.
Proceedings of the Neural Information Processing - 21st International Conference, 2014
A hybrid weighted aggregation method based on consistency and consensus in group decision making.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014
A new fuzzy ratio and its application to the single input rule modules connected fuzzy inference system.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014
Building fuzzy inference systems with similarity reasoning: NSGAII-based fuzzy rule selection and evidential functions.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014
2013
Application of the fuzzy min-max neural network to fault detection and diagnosis of induction motors.
Neural Comput. Appl., 2013
A Modified micro Genetic Algorithm for undertaking Multi-Objective Optimization Problems.
J. Intell. Fuzzy Syst., 2013
Multi-objective image segmentation with an interactive evolutionary computation approach.
J. Intell. Fuzzy Syst., 2013
J. Intell. Fuzzy Syst., 2013
Special issue: Computational intelligence models for image processing and information reasoning.
J. Intell. Fuzzy Syst., 2013
Offline and online fault detection and diagnosis of induction motors using a hybrid soft computing model.
Appl. Soft Comput., 2013
Proceedings of the 15th International Conference on Computer Modelling and Simulation, 2013
Proceedings of the IEEE International Conference on Systems, 2013
Proceedings of the Neural Information Processing - 20th International Conference, 2013
Interval-based and fuzzy set-based approaches to modeling of fuzzy inference systems with the local monotonicity property.
Proceedings of the FUZZ-IEEE 2013, 2013
A new framework with Similarity Reasoning and monotone fuzzy rule relabeling for Fuzzy Inference Systems.
Proceedings of the FUZZ-IEEE 2013, 2013
A new online updating framework for constructing monotonicity-preserving Fuzzy Inference Systems.
Proceedings of the FUZZ-IEEE 2013, 2013
Enhancing an Evolving Tree-based text document visualization model with Fuzzy c-Means clustering.
Proceedings of the FUZZ-IEEE 2013, 2013
Proceedings of the FUZZ-IEEE 2013, 2013
A Hybrid PSO-FSVM Model and Its Application to Imbalanced Classification of Mammograms.
Proceedings of the Intelligent Information and Database Systems - 5th Asian Conference, 2013
Proceedings of the Intelligent Information and Database Systems - 5th Asian Conference, 2013
2012
Fault Detection and Diagnosis of Induction Motors Using Motor Current Signature Analysis and a Hybrid FMM-CART Model.
IEEE Trans. Neural Networks Learn. Syst., 2012
Int. J. Knowl. Based Intell. Eng. Syst., 2012
A non-linear programming-based similarity reasoning scheme for modelling of monotonicity-preserving multi-input fuzzy inference systems.
J. Intell. Fuzzy Syst., 2012
Detection and Diagnosis of Broken Rotor Bars in Induction Motors Using the Fuzzy Min-Max Neural Network.
Int. J. Nat. Comput. Res., 2012
Application of Particle Swarm Optimization to uniform and variable strength covering array construction.
Appl. Soft Comput., 2012
Proceedings of the FUZZ-IEEE 2012, 2012
Building monotonicity-preserving Fuzzy Inference models with optimization-based similarity reasoning and a monotonicity index.
Proceedings of the FUZZ-IEEE 2012, 2012
2011
Improved GART Neural Network Model for Pattern Classification and Rule Extraction With Application to Power Systems.
IEEE Trans. Neural Networks, 2011
Soft Comput., 2011
A neural network-based multi-agent classifier system with a Bayesian formalism for trust measurement.
Soft Comput., 2011
J. Intell. Fuzzy Syst., 2011
On Monotonic sufficient conditions of Fuzzy Inference Systems and their Applications.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2011
A Multi-Objective Sensitivity Approach to Training Providers' Evaluation and quota Allocation Planning.
Int. J. Inf. Technol. Decis. Mak., 2011
Expert Syst. Appl., 2011
Appl. Soft Comput., 2011
Proceedings of the Neural Information Processing - 18th International Conference, 2011
Proceedings of the Neural Information Processing - 18th International Conference, 2011
Comparison between interval type-2 fuzzy sets based on a fuzzy preference relation with probability degree.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2011
Optimization of Gaussian fuzzy membership functions and evaluation of the monotonicity property of Fuzzy Inference Systems.
Proceedings of the FUZZ-IEEE 2011, 2011
An evolutionary-based similarity reasoning scheme for monotonic multi-input fuzzy inference systems.
Proceedings of the FUZZ-IEEE 2011, 2011
A Hybrid Neural Classifier for Dimensionality Reduction and Data Visualization and Its Application to Fault Detection and Classification of Induction Motors.
Proceedings of the Sixth International Conference on Bio-Inspired Computing: Theories and Applications, 2011
2010
Proceedings of the Agent and Multi-agent Technology for Internet and Enterprise Systems, 2010
A Modified Fuzzy Min-Max Neural Network With a Genetic-Algorithm-Based Rule Extractor for Pattern Classification.
IEEE Trans. Syst. Man Cybern. Part A, 2010
A Layered-Encoding Cascade Optimization Approach to Product-Mix Planning in High-Mix-Low-Volume Manufacturing.
IEEE Trans. Syst. Man Cybern. Part A, 2010
Evolutionary Fuzzy ARTMAP Neural Networks and their Applications to Fault Detection and Diagnosis.
Neural Process. Lett., 2010
A novel Euclidean quality threshold ARTMAP network and its application to pattern classification.
Neural Comput. Appl., 2010
An enhanced generalized adaptive resonance theory neural network and its application to medical pattern classification.
J. Intell. Fuzzy Syst., 2010
Feature extraction and classification of metal detector signals using the wavelet transform and the fuzzy ARTMAP neural network.
J. Intell. Fuzzy Syst., 2010
Enhancing the Failure Mode and Effect Analysis methodology with fuzzy inference techniques.
J. Intell. Fuzzy Syst., 2010
J. Intell. Fuzzy Syst., 2010
Neurocomputing, 2010
Use of the circle segments visualization technique for neural network feature selection and analysis.
Neurocomputing, 2010
Int. J. Knowl. Eng. Soft Data Paradigms, 2010
Proceedings of the Neural Information Processing. Models and Applications, 2010
Enhancing Fuzzy Inference System Based Criterion-Referenced Assessment With An Application.
Proceedings of the European Conference on Modelling and Simulation, 2010
2009
Proceedings of the Innovations in Swarm Intelligence, 2009
Proceedings of the Innovations in Swarm Intelligence, 2009
Neural Comput. Appl., 2009
J. Intell. Fuzzy Syst., 2009
Intell. Decis. Technol., 2009
Fuzzy ARTMAP and a Hybrid Chaos Genetic Algorithm for Medical Pattern Classification.
Aust. J. Intell. Inf. Process. Syst., 2009
Proceedings of the Neural Information Processing, 16th International Conference, 2009
Improving the Performance of Fuzzy ARTMAP with Hybrid Evolutionary Programming: An Experimental Study.
Proceedings of the Neural Information Processing, 16th International Conference, 2009
On the use of fuzzy rule interpolation techniques for monotonic multi-input fuzzy rule base models.
Proceedings of the FUZZ-IEEE 2009, 2009
2008
Proceedings of the Computational Intelligence Paradigms, Innovative Applications, 2008
A Hybrid ART-GRNN Online Learning Neural Network With a varepsilon -Insensitive Loss Function.
IEEE Trans. Neural Networks, 2008
A hybrid neural network classifier combining ordered fuzzy ARTMAP and the dynamic decay adjustment algorithm.
Soft Comput., 2008
An Artificial Neural Network Classifier Design Based-on Variable Kernel and Non-Parametric Density Estimation.
Neural Process. Lett., 2008
Int. J. Hybrid Intell. Syst., 2008
On the use of fuzzy inference techniques in assessment models: part II: industrial applications.
Fuzzy Optim. Decis. Mak., 2008
On the use of fuzzy inference techniques in assessment models: part I - theoretical properties.
Fuzzy Optim. Decis. Mak., 2008
Guest Editorial: Special issue on advances in computational intelligence paradigms and applications.
Fuzzy Optim. Decis. Mak., 2008
Fuzzy ARTMAP dynamic decay adjustment: An improved fuzzy ARTMAP model with a conflict resolving facility.
Appl. Soft Comput., 2008
A modified fuzzy min-max neural network with rule extraction and its application to fault detection and classification.
Appl. Soft Comput., 2008
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2008
Proceedings of the International Joint Conference on Neural Networks, 2008
An interactive genetic algorithm approach to MMIC low noise amplifier design using a layered encoding structure.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
2007
Proceedings of the Advances in Evolutionary Computing for System Design, 2007
Proceedings of the Innovations in Intelligent Machines - 1, 2007
Soft Comput., 2007
A hybrid neural network model for rule generation and its application to process fault detection and diagnosis.
Eng. Appl. Artif. Intell., 2007
A Mutation-Based Evolving Neural Network Model and Its Application to Condition Monitoring.
Proceedings of the 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2007), 2007
Proceedings of the 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2007), 2007
Use of Circle-Segments as a Data Visualization Technique for Feature Selection in Pattern Classification.
Proceedings of the Neural Information Processing, 14th International Conference, 2007
2006
Monitoring the Formation of Kernel-Based Topographic Maps in a Hybrid SOM-kMER Model.
IEEE Trans. Neural Networks, 2006
Fuzzy clustering of color and texture features for image segmentation: A study on satellite image retrieval.
J. Intell. Fuzzy Syst., 2006
On the reduction of complexity in the architecture of fuzzy ARTMAP with dynamic decay adjustment.
Neurocomputing, 2006
Proceedings of the Neural Information Processing, 13th International Conference, 2006
2005
A Hybrid Neural Network System for Pattern Classification Tasks with Missing Features.
IEEE Trans. Pattern Anal. Mach. Intell., 2005
Neural Comput. Appl., 2005
Application of fuzzy ARTMAP and fuzzy <i>c</i>-means clustering to pattern classification with incomplete data.
Neural Comput. Appl., 2005
Application of a Neural Fuzzy System with Rule Extraction to Fault Detection and Diagnosis.
J. Intell. Manuf., 2005
Int. J. Hybrid Intell. Syst., 2005
2004
IEEE Trans. Syst. Man Cybern. Part B, 2004
Proceedings of the Applied Soft Computing Technologies: The Challenge of Complexity, Proceedings of the 9th Online World Conference on Soft Computing in Industrial Applications (WSC9), September 20th, 2004
Proceedings of the Applied Soft Computing Technologies: The Challenge of Complexity, Proceedings of the 9th Online World Conference on Soft Computing in Industrial Applications (WSC9), September 20th, 2004
Hybrid Image Segmentation based on Fuzzy Clustering Algorithm for Satellite Imagery Searching and Retrieval.
Proceedings of the Applied Soft Computing Technologies: The Challenge of Complexity, Proceedings of the 9th Online World Conference on Soft Computing in Industrial Applications (WSC9), September 20th, 2004
Boosting the Performance of the Fuzzy Min-Max Neural Network in Pattern Classification Tasks.
Proceedings of the Applied Soft Computing Technologies: The Challenge of Complexity, Proceedings of the 9th Online World Conference on Soft Computing in Industrial Applications (WSC9), September 20th, 2004
Fault Detection and Diagnosis Using the Fuzzy Min-Max Neural Network with Rule Extraction.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004
2003
Online pattern classification with multiple neural network systems: an experimental study.
IEEE Trans. Syst. Man Cybern. Part C, 2003
Predicting drug dissolution profiles with an ensemble of boosted neural networks: a time series approach.
IEEE Trans. Neural Networks, 2003
Int. J. Comput. Intell. Appl., 2003
An ART-Based Hybrid Network for Medical Pattern Classification Tasks with Missing Data.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003
2002
Application of a Recurrent Neural Network to Prediction of Drug Dissolution Profiles.
Neural Comput. Appl., 2002
2001
Int. J. Comput. Intell. Appl., 2001
2000
Proceedings of the WISE 2000, 2000
1999
Proceedings of the Third International Conference on Knowledge-Based Intelligent Information Engineering Systems, 1999
1997
An Incremental Adaptive Network for On-line Supervised Learning and Probability Estimation.
Neural Networks, 1997
Modified Fuzzy ARTMAP Approaches Bayes Optimal Classification Rates: An Empirical Demonstration.
Neural Networks, 1997
Application of autonomous neural network systems to medical pattern classification tasks.
Artif. Intell. Medicine, 1997
1996
1995
Minimal Error Rate Classification in a Non-stationary Environment via a Modified Fuzzy ARTMAP Network.
Proceedings of the Artificial Neural Nets and Genetic Algorithms, 1995